Персона: Куприянов, Дмитрий Юрьевич
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Дмитрий Юрьевич
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- ПубликацияТолько метаданныеModeling of resource allocation in industrial organizations(2022) Petrosov, D. A.; Pleshakova, E. S.; Osipov, A. V.; Ivanov, M. N.; Zelenina, A. N.; Kupriyanov, D. Y.; Куприянов, Дмитрий Юрьевич
- ПубликацияТолько метаданныеIntelligent System for Express Analysis of Electrophysical Characteristics of Nanocomposite Media(2022) Sergey, K.; Aleksey, O.; Ekaterina, P.; Mikhail, I.; Dmitry, Kupriyanov.; Куприянов, Дмитрий Юрьевич© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.The article deals with the problem of training specialists in the field of nanotechnology. To solve this problem, it is proposed to use Web-applications that allow mathematical and computer modeling of nanocomposites and interact with specialized databases. As an example, a new Web application has been developed that allows for express analysis of the electrophysical characteristics of nanocomposite media. A distinctive feature of the Web-application is the presence of a database with information about the complex dielectric constant for 147 different materials, the possibility of remote control and multi-user mode. The web application allows students to make predictions of synthesized composites, as well as create new materials with specified properties. The advantages of the developed Web-application in the educational process are shown, among which it is worth noting the speed of development of new materials and the clarity of the computational experiment.
- ПубликацияТолько метаданныеDynamic Model of Semantic Information Signal Processing(2024) Khidirova, M.; Abdivakhidov, K.; Bylevsky, P.; Osipov, A.; Pleshakova, E.; Radygin, V.; Kupriyanov, D. Y.; Радыгин, Виктор Юрьевич; Куприянов, Дмитрий Юрьевич
- ПубликацияТолько метаданныеDevelopment of a Network Traffic Anomaly Detection System Based on Neural Networks(2024) Bespalova, N.; Ershov, A.; Sitnikov, S.; Nechaev, S.; Radygin, V.; Kupriyanov, D.; Радыгин, Виктор Юрьевич; Куприянов, Дмитрий Юрьевич
- ПубликацияТолько метаданныеCognitive Graphs for Socio-Economic Objects Management(2024) Staroverova, A. A.; Romanova, E. V.; Bespalova, N. V.; Bylevskiy, P. G.; Radygin, V.; Kupriyanov, D.; Радыгин, Виктор Юрьевич; Куприянов, Дмитрий Юрьевич
- ПубликацияТолько метаданныеRecurrent Neural Networks for Text Generation(2024) Gasanov,F.F.; Romanova, E. V.; Bespalova, N.; Bylevskiy, P. G.; Radygin,V.; Kupriyanov, D.; Радыгин, Виктор Юрьевич; Куприянов, Дмитрий Юрьевич
- ПубликацияТолько метаданныеNon-local Means Denoising Algorithm Based on Local Binary Patterns(2020) Kartsov, S. K.; Polyakov, Y. A.; Zykov, A. N.; Kupriyanov, D. Y.; Куприянов, Дмитрий Юрьевич© 2020, Springer Nature Switzerland AG.Previously, the document flow was mainly through the using of documents in paper form. It created the series of problems during the archiving and searching of the necessary documents. The archive paper documents take a lot of noise points, therefore it is the problem to search of documents in the archive, because there are mistakes in documents, and searching requires a long time. While information technology, it became possible using scanners to convert documents from paper to electronic form. In the process of scanning and due to the fact, that the documents are not always in good shape, the output images are obtained with various defects in the form of noise. Various noise reduction algorithms are used to improve the image quality and remove the noise from scanned documents. This chapter discusses a possibility of using Local Binary Patterns (LBP) operator to make changes into the operation of Non-Local Means (NLM) noise reduction algorithm. As a result, it was possible to improve a quality of scanned images after their processing by the proposed modified algorithm.